Samuel Kerrien

Results 53 issues of Samuel Kerrien

## Description The scientists would like to capture how the assets were generated in the report. To do so, they will need to capture : - where the code is...

feature
fusion
fusion-plugin

## Description The scientists have described the need to customise the list of report categories on a per `type` basis (e.g. DetailedCircuit, Simulation). Each of these categories should have a...

feature
fusion
fusion-plugin

**Description** Users should be able to change the ordering of images in an analysis and save their changes. Requirements - Data model with support for maintaining ordering - Validate that...

feature
fusion
fusion-plugin

**Description** Users can upload images in a given Analysis. Users can Cancel the editing of an analysis. Should images have been updated (and thus, stored in Delta), we need to...

feature
fusion
fusion-plugin

### Acceptance Criteria - Creation/Update/Deprecation of Analysis - Listing of existing Analysis for a given Dataset - Listing of Existing Analysis in a project - Listing of available dataset-type specific...

feature
delta

### Description Often, scientists will iterate on the creation of a plot (correction, font tweaking, ...). It would be useful to add an image as a revision of an other....

enhancement
fusion
fusion-plugin

**Motivation** The report plugin can be presented on selected resource types, for instance nsg:DetailedCircuit or nsg:Simulation. There are multiple scale of Analysis [ Anatomical, Connectivity, Volumetric, Morphometric, Synape ]. Each...

feature
fusion
fusion-plugin

fusion
epic
fusion-plugin

## Motivation ## To improve the usability. across the Preview and Image plugin. ## Acceptance criteria ## - User should be able to distinguish between images and other files -...

enhancement
fusion
fusion-plugin

**Description** Ability to edit a resource and update its name and description. The description plugin should be removed and the presentation of the description be integrated in the resource panel....

feature
fusion